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A cool company. 🧊 🚀 Unlock the full potential of your code with real-time profiling. Creators of @ParcaDev!

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Joined September 2020
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Today is a big day! The last 5+ years at @PolarSignalsIO have been incredible! I couldn't be more excited to be part of what's next for @dash0hq Observability!
🚀 Polar Signals is Joining Dash0! 🧊
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👏Congrats to @fredbrancz, @asubiotto and the entire @PolarSignalsIO team on their sale to @dash0hq, the OpenTelemetry-native agentic observability platform. The industry is pouring hundreds of billions into GPU compute and mostly flying blind on utilization. @PolarSignalsIO built the worlds best tool to observe exactly where those cycles go, down to the stalled thread. Big things ahead for the combined team. More information below:📽️👇youtube.com/watch?v=_L-hNCQN…
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Polar Signals retweeted
Today is another big day for @dash0hq. We're welcoming @PolarSignalsIO to the team. Polar Signals has built the leading continuous profiler for cloud-native workloads, including GPU and CUDA support, and created Parca, the open source continuous profiling project. Together, we're bringing continuous profiling natively into Dash0. That means profiling won't live in a separate tool; it’ll sit alongside traces, metrics and logs in the same OpenTelemetry-native platform, unifying the data and giving engineers a much deeper understanding of what's happening inside their applications. We've shared more about why we made this move in the comments.
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🔥Flame charts are now GA for all CPU profiles on Polar Signals Cloud. X-axis = wall-clock time, so periodic GC, phase shifts, and lock contention show up as patterns instead of getting averaged out. polarsignals.com/blog/posts/…
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The Polar Signals profiler got a major upgrade. New dashboard, and everything is faster and smoother 🚀 We can’t wait for you to try it out! Here's what's new and how we did it: polarsignals.com/blog/posts/…
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What if loading a data lake was as simple as writing a SQL query? In our latest engineering deep dive, we explain how we explored loading Great Lakes tables using DataFusion SQL queries in an effort to increase performance. 🚀 🧊 Read the full post: polarsignals.com/blog/posts/…
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Polar Signals retweeted
This was a fun one! For @PolarSignalsIO's latest hackathon, I wrote an FSST decompression CUDA kernel and then optimized it by profiling with our new GPU PC sampling feature. 👇
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Two of our favorite things on the blog today: 1) Experimenting with cutting-edge GPU-accelerated columnar storage. 🚀 2) Dogfooding our GPU Profiler. 📊 Let us know what you think!
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Ever wondered how a profiler knows which JavaScript function is hot when V8 compiles your code three different ways? We went deep on unwinding and symbolizing V8 stacks across Sparkplug, Maglev, and TurboFan. The detective work behind every flame graph. polarsignals.com/blog/posts/…
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Launching today: GPU PC sampling in production. Instruction-level profiling telling you why and where warps stall. Whether it is memory latency, scoreboard waits, or barriers. 🚀 Previously NSight-only territory. Now running in prod with low overhead. polarsignals.com/blog/posts/…
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New Blog Alert! Learn how we overcame eBPF limits to unwind deeply nested PyTorch training stacks and learned some cools things along the way: polarsignals.com/blog/posts/…
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🤖Using Polar Signals Cloud and Claude Code to autonomously optimize your code every day! 📈 Also: Check out our new website! What do you think? polarsignals.com/blog/posts/…
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Tired of Node.js flamecharts full of `a`, `m`, and `_0x3f2`? We just shipped source maps support for Node.js profiles in Polar Signals Cloud. Just add a plugin to your build pipeline, and your profiles show the real code. Know more: polarsignals.com/blog/posts/…
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